Bring expert judgement into the workflow
Academic and professional staff can check category fit for comments where local context or domain knowledge matters.
Feature
Review comment categories before they become official outputs
Review and correct student comment categories and sentiment before final reports, dashboards, and exports are generated.
Student Voice Analytics supports a review workflow for comment categories and sentiment. Staff can inspect the classification for a comment or sentence, correct it where needed, and regenerate outputs from the reviewed data.
See sample outputs, governance notes, and the reporting workflow in a 30-minute walkthrough.
Who this is for
Survey teams, analysts, academic reviewers, and governance leads.
Why it matters
Automated classification can handle volume, but institutions still need a route for expert judgement. Review workflows stop edge cases, sensitive phrasing, or local context from being locked into final reporting without inspection.
What teams get
Correct once, then regenerate clean outputs
Corrections can feed updated workbooks, summaries, and dashboards rather than sitting in a separate manual note.
Support future consistency
Reviewed examples help teams understand classification boundaries and support better consistency across survey cycles.
How it works
- Open the review view from a comment, category, or report line.
- Inspect the sentence split, category label, and sentiment label.
- Apply corrections or notes where the reviewer disagrees.
- Regenerate the relevant outputs from the reviewed data.
Outputs
- Reviewed category labels.
- Reviewed sentiment labels.
- Updated reports and exports after correction.
- A clearer audit path from raw comment to final insight.
Governance and evidence quality
- Deterministic ML gives teams reproducible outputs they can re-run and explain across survey cycles.
- The taxonomy is tuned for UK HE student comments rather than generic customer experience text.
- All-comment coverage reduces avoidable sampling bias and keeps verbatim evidence connected to each insight.
- Sector benchmarks help teams separate institution-specific issues from patterns seen across the HE sector.
FAQs
Can a single comment have more than one category?
Yes. Sentence-level analysis can handle comments that mention more than one issue or contain both positive and negative signals.
Do corrections affect the final reports?
Yes. Corrections can be incorporated before reports and exports are regenerated.
Who should review categorisation?
The best reviewers are usually survey leads, quality staff, local academic leads, or service owners who understand the context behind the comments.
See the workflow with your team
Book a walkthrough to see sample reports, search, exports, and governance notes for this Student Voice Analytics workflow.
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